{"title":"离开的意图和留在技术组织的意图","authors":"Janine da Silva Alves Bello, A. Steil","doi":"10.4018/ijhcitp.2020040106","DOIUrl":null,"url":null,"abstract":"The intention to leave a job and the intention to stay at the job are considered the best predictors of staff turnover or retention. Based on this assumption, this study is aimed at analyzing the relationship between demographic variables (employee age, gender, marital status, kinship responsibility, education level), attitudinal variables (job satisfaction, affective commitment to organization, carrier commitment) and behavioral intentions (employees' intention to leave the job and employees' intention to stay at the job). From June to December 2016, on-line questionnaires were applied to knowledge-intensive organizations employees in Florianopolis, Santa Catarina State, Brazil. This article discusses the results and presents suggestions for further investigation.","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Intent to Leave Versus Intent to Stay in Technology Organizations\",\"authors\":\"Janine da Silva Alves Bello, A. Steil\",\"doi\":\"10.4018/ijhcitp.2020040106\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The intention to leave a job and the intention to stay at the job are considered the best predictors of staff turnover or retention. Based on this assumption, this study is aimed at analyzing the relationship between demographic variables (employee age, gender, marital status, kinship responsibility, education level), attitudinal variables (job satisfaction, affective commitment to organization, carrier commitment) and behavioral intentions (employees' intention to leave the job and employees' intention to stay at the job). From June to December 2016, on-line questionnaires were applied to knowledge-intensive organizations employees in Florianopolis, Santa Catarina State, Brazil. This article discusses the results and presents suggestions for further investigation.\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4018/ijhcitp.2020040106\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/ijhcitp.2020040106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intent to Leave Versus Intent to Stay in Technology Organizations
The intention to leave a job and the intention to stay at the job are considered the best predictors of staff turnover or retention. Based on this assumption, this study is aimed at analyzing the relationship between demographic variables (employee age, gender, marital status, kinship responsibility, education level), attitudinal variables (job satisfaction, affective commitment to organization, carrier commitment) and behavioral intentions (employees' intention to leave the job and employees' intention to stay at the job). From June to December 2016, on-line questionnaires were applied to knowledge-intensive organizations employees in Florianopolis, Santa Catarina State, Brazil. This article discusses the results and presents suggestions for further investigation.